generated from eliahuhorwitz/Academic-project-page-template
-
Notifications
You must be signed in to change notification settings - Fork 0
/
index.html
358 lines (311 loc) · 17.1 KB
/
index.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>MTP: A Dataset for Multi-Modal Turning Points in Casual Conversations</title>
<link href="https://fonts.googleapis.com/css?family=Google+Sans|Noto+Sans|Castoro"
rel="stylesheet">
<link rel="stylesheet" href="static/css/bulma.min.css">
<link rel="stylesheet" href="static/css/bulma-carousel.min.css">
<link rel="stylesheet" href="static/css/bulma-slider.min.css">
<link rel="stylesheet" href="static/css/fontawesome.all.min.css">
<link rel="stylesheet"
href="https://cdn.jsdelivr.net/gh/jpswalsh/academicons@1/css/academicons.min.css">
<link rel="stylesheet" href="static/css/index.css">
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.5.1/jquery.min.js"></script>
<script src="https://documentcloud.adobe.com/view-sdk/main.js"></script>
<script defer src="static/js/fontawesome.all.min.js"></script>
<script src="static/js/bulma-carousel.min.js"></script>
<script src="static/js/bulma-slider.min.js"></script>
<script src="static/js/index.js"></script>
<style>
/* Reset link color */
a {
color: inherit; /* Inherit color from parent */
text-decoration: none; /* Remove underline */
}
.author-block a.monash {
color: #f68946 !important; /* VinUniversity color */
font-weight: normal;
}
.author-block a.vinuni {
color: #008AD7 !important; /* Monash color */
font-weight: normal;
}
.author-block a.default {
color: #008AD7;
font-weight: normal;
}
</style>
</head>
<body>
<section class="hero">
<div class="hero-body">
<div class="container is-max-desktop">
<div class="columns is-centered">
<div class="column has-text-centered">
<h1 class="title is-1 publication-title">🔍 MTP: <span class="is-size-2"><span class="is-size-1">M</span>ulti-<span class="is-size-1">M</span>odal <span class="is-size-1">T</span>urning <span class="is-size-1">P</span>oints</span></h1>
<h3 class="title is-3 publication-title">A Dataset for Multi-Modal Turning Points in Casual Conversations</h3>
<h5 class="subtitle is-5 publication-title" style="color: red; font-weight: bold;">ACL 2024 (main)</h5>
<div class="is-size-5 publication-authors">
<span class="author-block">
<a href="https://github.com/giaabaoo" class="vinuni">Gia-Bao Dinh Ho</a>,
</span>
<span class="author-block">
<a href="https://changweitan.com/" class="monash">Chang Wei Tan</a>,
</span>
<span class="author-block">
<a href="https://www.linkedin.com/in/zahra-zamanzadeh" class="monash">Zahra Zamanzadeh Darban</a>,
</span>
<span class="author-block">
<a href="https://sites.google.com/monash.edu/mahsasalehi/home" class="monash">Mahsa Salehi</a>,
</span>
<span class="author-block">
<a href="https://users.monash.edu.au/~gholamrh/" class="monash">Gholamreza Haffari</a>,
</span>
<span class="author-block">
<a href="https://bayesian-models.org/" class="vinuni">Wray Buntine</a>
</span>
</div>
<div class="is-size-5 publication-authors">
<span class="author-block"><b style="color: #f68946; font-weight: normal;">▶ </b> <a href="https://www.monash.edu/" class="monash" target="_blank" style="color: #f68946;">Monash University</a></span>
<span class="author-block"><b style="color: #008AD7; font-weight: normal;">▶ </b> <a href="https://vinuni.edu.vn/" class="vinuni" target="_blank" style="color: #008AD7;">VinUniversity</a></span>
</div>
<div class="column has-text-centered">
<div class="publication-links">
<span class="link-block">
<a href="https://aclanthology.org/2024.acl-short.30.pdf" target="_blank" class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="ai ai-arxiv"></i>
</span>
<span>Paper</span>
</a>
</span>
<span class="link-block">
<a href="https://huggingface.co/papers/2409.14801" target="_blank" class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<img src="https://huggingface.co/front/assets/huggingface_logo-noborder.svg" alt="Hugging Face logo" style="height: 20px;">
</span>
<span>Hugging Face</span>
</a>
</span>
<span class="link-block">
<a href="https://github.com/giaabaoo/MTP_pipeline" target="_blank" class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="fab fa-github"></i>
</span>
<span>Code</span>
</a>
</span>
<span class="link-block">
<a href="https://drive.google.com/file/d/1K8GUORTLHO-s7PNJHtHQ0RWHo1GaCye7/view?usp=sharing" target="_blank" class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="far fa-images"></i>
</span>
<span>Poster</span>
</a>
</span>
<span class="link-block">
<a href="https://drive.google.com/drive/folders/1xz0RwB9WmUCXSMr4SHhH5GvaNQ78IqA4?usp=drive_link" target="_blank" class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="fas fa-database"></i>
</span>
<span>Dataset</span>
</a>
</span>
</div>
</div>
</div>
</div>
</div>
</div>
</section>
<section class="hero teaser">
<div class="container is-max-desktop">
<div class="hero-body">
<img src="static/images/demo.png" alt="" style="width: 100%; height: auto;">
<h2 class="subtitle has-text-centered">
A turning point in a casual conversation between a woman and two men
</h2>
</div>
</div>
</section>
<!-- Paper abstract -->
<section class="section hero is-light">
<div class="container is-max-desktop">
<div class="columns is-centered has-text-centered">
<div class="column is-four-fifths">
<h2 class="title is-3">Abstract</h2>
<div class="content has-text-justified">
<p>
Detecting critical moments, such as emotional outbursts or changes in decisions during conversations, is crucial for understanding shifts in human behavior and their consequences. Our work introduces a novel problem setting that focuses on these moments as "turning points (TPs)," accompanied by a meticulously curated, high-consensus, human-annotated multi-modal dataset. We provide precise timestamps, descriptions, and visual-textual evidence highlighting changes in emotions, behaviors, perspectives, and decisions at these turning points. Additionally, we propose a framework, TPMaven, which utilizes state-of-the-art vision-language models to construct a narrative from the videos and large language models. Evaluation results show that TPMaven achieves an F1-score of 0.88 in classification and 0.61 in detection, with additional explanations aligning with human expectations.
</p>
</div>
</div>
</div>
</div>
</section>
<!-- End paper abstract -->
<!-- Image carousel -->
<section class="hero is-small">
<div class="hero-body">
<div class="container">
<div id="results-carousel" class="carousel results-carousel">
<div class="item">
<img src="static/images/demo.png" alt="MY ALT TEXT"/>
<h2 class="subtitle has-text-centered">
Emotional outbursts significantly change other speakers' states
</h2>
</div>
</div>
</div>
</div>
</section>
<!-- End image carousel -->
<section class="hero teaser"></section>
<div class="container is-max-desktop">
<div class="hero-body">
<img src="static/images/formulation.png" alt="" style="width: 100%; height: auto;">
</div>
</div>
</section>
<section class="hero is-small">
<div class="hero-body">
<div class="container is-max-desktop">
<h2 class="title">Sample Conversations</h2>
<div id="results-carousel" class="carousel results-carousel">
<div class="video-container">
<video id="video1" autoplay controls muted loop style="width: 100%;">
<source src="static/videos/conversation_1_small.mp4" type="video/mp4">
Your browser does not support the video tag.
</video>
</div>
<div class="video-container">
<video id="video2" autoplay controls muted loop style="width: 100%;">
<source src="static/videos/conversation_4_small.mp4" type="video/mp4">
Your browser does not support the video tag.
</video>
</div>
</div>
</div>
</div>
</section>
<section class="section" id="DatasetStatistics"></section>
<div class="container is-max-desktop content">
<h2 class="title">Dataset Statistics</h2>
<table style="width: 100%; border-collapse: collapse; margin: auto;">
<thead>
<tr>
<th style="border: 1px solid #ddd; padding: 8px; text-align: center;">Statistic</th>
<th style="border: 1px solid #ddd; padding: 8px; text-align: center;">Value</th>
</tr>
</thead>
<tbody>
<tr>
<td style="border: 1px solid #ddd; padding: 8px; text-align: center;">Total number of conversation videos</td>
<td style="border: 1px solid #ddd; padding: 8px; text-align: center;">340</td>
</tr>
<tr>
<td style="border: 1px solid #ddd; padding: 8px; text-align: center;">Total duration (h)</td>
<td style="border: 1px solid #ddd; padding: 8px; text-align: center;">13.3</td>
</tr>
<tr>
<td style="border: 1px solid #ddd; padding: 8px; text-align: center;">Total number of utterance-level videos</td>
<td style="border: 1px solid #ddd; padding: 8px; text-align: center;">12,351</td>
</tr>
<tr>
<td style="border: 1px solid #ddd; padding: 8px; text-align: center;">Total number of words in all transcripts</td>
<td style="border: 1px solid #ddd; padding: 8px; text-align: center;">81,909</td>
</tr>
<tr>
<td style="border: 1px solid #ddd; padding: 8px; text-align: center;">Average length of conversation transcripts</td>
<td style="border: 1px solid #ddd; padding: 8px; text-align: center;">241.5</td>
</tr>
<tr>
<td style="border: 1px solid #ddd; padding: 8px; text-align: center;">Maximum length of conversation transcripts</td>
<td style="border: 1px solid #ddd; padding: 8px; text-align: center;">460</td>
</tr>
<tr>
<td style="border: 1px solid #ddd; padding: 8px; text-align: center;">Average length of conversation videos (s)</td>
<td style="border: 1px solid #ddd; padding: 8px; text-align: center;">1.9</td>
</tr>
<tr>
<td style="border: 1px solid #ddd; padding: 8px; text-align: center;">Maximum length of conversation videos (m)</td>
<td style="border: 1px solid #ddd; padding: 8px; text-align: center;">2.5</td>
</tr>
<tr>
<td style="border: 1px solid #ddd; padding: 8px; text-align: center;">Total number of TPs videos</td>
<td style="border: 1px solid #ddd; padding: 8px; text-align: center;">214</td>
</tr>
</tbody>
</table>
</div>
</section>
<section class="section" id="DownloadLinks">
<div class="container is-max-desktop content">
<h2 class="title">Dataset Usage</h2>
<p>
<a href="https://drive.google.com/file/d/1sHigqVVqr8h5X_wxA2m8sGUB7vvKWxBS/view?usp=sharing" class="default" style="color: blue;">Here</a>
is the Data Usage Agreement. Please sign it and send the signed document back to this email:
<span style="color: blue;">[email protected]</span> with the subject title: <b>"Request Access for the MTP Dataset."</b> We will send the full dataset link to your email upon receiving the signed document.
</p>
<p>
The full dataset comprising 340 conversations, totaling approximately 13.3 hours of video content. The dataset will include additional utterance-level videos, transcripts, speaker IDs, and annotation files for turning points. Currently, we have provided some sample files
<a href="https://drive.google.com/drive/folders/1Su1dbNCdCu6U28C92q7-0EoyoPnBNsbx?usp=drive_link" style="color: blue;">in this link</a>
to enhance the reviewing process.
</p>
</div>
</section>
<!--BibTex citation -->
<section class="section" id="BibTeX">
<div class="container is-max-desktop content">
<h2 class="title">BibTeX</h2>
<pre><code>@article{bigbangtheory,
title={The Big Bang Theory},
author={Chuck Lorre and Bill Prady},
year={2007},
journal={CBS},
url={https://www.cbs.com/shows/big_bang_theory/}}
</code></pre>
<pre><code>@inproceedings{ho-etal-2024-mtp,
title = "{MTP}: A Dataset for Multi-Modal Turning Points in Casual Conversations",
author = "Ho, Gia-Bao and Tan, Chang and Darban, Zahra and Salehi, Mahsa and Haf, Reza and Buntine, Wray",
editor = "Ku, Lun-Wei and Martins, Andre and Srikumar, Vivek",
booktitle = "Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)",
month = aug,
year = "2024",
address = "Bangkok, Thailand",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.acl-short.30",
pages = "314--326",
abstract = "Detecting critical moments, such as emotional outbursts or changes in decisions during conversations, is crucial for understanding shifts in human behavior and their consequences. Our work introduces a novel problem setting focusing on these moments as turning points (TPs), accompanied by a meticulously curated, high-consensus, human-annotated multi-modal dataset. We provide precise timestamps, descriptions, and visual-textual evidence high-lighting changes in emotions, behaviors, perspectives, and decisions at these turning points. We also propose a framework, TPMaven, utilizing state-of-the-art vision-language models to construct a narrative from the videos and large language models to classify and detect turning points in our multi-modal dataset. Evaluation results show that TPMaven achieves an F1-score of 0.88 in classification and 0.61 in detection, with additional explanations aligning with human expectations.",
}
</code></pre>
<pre><code>@article{ho2024mtp,
title={MTP: A Dataset for Multi-Modal Turning Points in Casual Conversations},
author={Ho, Gia-Bao Dinh and Tan, Chang Wei and Darban, Zahra Zamanzadeh and Salehi, Mahsa and Haffari, Gholamreza and Buntine, Wray},
journal={arXiv preprint arXiv:2409.14801},
url={https://arxiv.org/abs/2409.14801},
year={2024}
}
</code></pre>
</div>
</section>
<!--End BibTex citation -->
<footer class="footer">
<div class="container">
<div class="columns is-centered">
<div class="column is-8">
<div class="content">
<p>
This page was built using the <a href="https://github.com/eliahuhorwitz/Academic-project-page-template" target="_blank">Academic Project Page Template</a> which was adopted from the <a href="https://nerfies.github.io" target="_blank">Nerfies</a> project page.
You are free to borrow the source of this website, we just ask that you link back to this page in the footer. <br> This website is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by-sa/4.0/" target="_blank">Creative
Commons Attribution-ShareAlike 4.0 International License</a>.
</p>
</div>
</div>
</div>
</div>
</footer>
</body>
</html>